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Deci-AI
/
super-gradients
connected to https://github.com/Deci-AI/super-gradients.git

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#869 Add DagsHub Logger to Super Gradients

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Ghost merged 1 commits into Deci-AI:master from timho102003:dagshub_logger
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super-gradients
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src
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super_gradients
/
recipes
/
dataset_params
/
coco_segmentation_dataset_params.yaml
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  1. train_dataset_params:
    2. 

  2.   root_dir: /data/coco/
    3. 

  3.   list_file: instances_train2017.json
    4. 

  4.   samples_sub_directory: images/train2017
    5. 

  5.   targets_sub_directory: annotations
    6. 

  6.   dataset_classes_inclusion_tuples_list:
    7. 

  7.     _target_: super_gradients.training.utils.segmentation_utils.coco_sub_classes_inclusion_tuples_list
    8. 

  8.   cache_labels: False
    9. 

  9.   cache_images: False
    10. 

  10.   transforms:
    11. 

  11.     # for more options see common.factories.transforms_factory.py
    12. 

  12.     - SegRandomFlip:
    13. 

  13.         prob: 0.5
    14. 

  14. 

  15.     - SegRescale: # consider removing this step
    16. 

  16.         long_size: 608
    17. 

  17. 

  18.     - SegRandomRescale:
    19. 

  19.         scales: [ 0.5, 2.0 ]
    20. 

  20. 

  21.     - SegPadShortToCropSize:
    22. 

  22.         crop_size: 512
    23. 

  23. 

  24.     - SegCropImageAndMask:
    25. 

  25.         crop_size: 512
    26. 

  26.         mode: random
    27. 

  27. 

  28. val_dataset_params:
    29. 

  29.   root_dir: /data/coco/
    30. 

  30.   list_file: instances_val2017.json
    31. 

  31.   samples_sub_directory: images/val2017
    32. 

  32.   targets_sub_directory: annotations
    33. 

  33.   dataset_classes_inclusion_tuples_list:
    34. 

  34.     _target_: super_gradients.training.utils.segmentation_utils.coco_sub_classes_inclusion_tuples_list
    35. 

  35.   cache_labels: False
    36. 

  36.   cache_images: False
    37. 

  37.   transforms:
    38. 

  38.     - SegRescale:
    39. 

  39.         short_size: 512
    40. 

  40. 

  41.     - SegCropImageAndMask:
    42. 

  42.         crop_size: 512
    43. 

  43.         mode: center
    44. 

  44. 

  45. train_dataloader_params:
    46. 

  46.   shuffle: True
    47. 

  47.   batch_size: 8
    48. 

  48.   num_workers: 8
    49. 

  49.   drop_last: True                 # drop the last incomplete batch, if dataset size is not divisible by the batch size
    50. 

  50. 

  51. val_dataloader_params:
    52. 

  52.   batch_size: 24
    53. 

  53.   num_workers: 8
    54. 

  54.   drop_last: False
    55.
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